In this blog, I will discuss How to Create Java Development Environment In the Google Cloud Platform.

Creating and Connecting to a Virtual Machine


In this article, we will go through the lab Deploy a Compute Instance with a Remote Startup Script.

The challenge contains 4 required tasks

1.Create a storage bucket for startup scripts.

2.Create a virtual machine that runs a startup script from Cloud Storage.

3.Configure HTTP access for the virtual machine.

4.Deploy an application on an instance.

What is startup Script in GCP?

A startup script is a file that contains commands that run when a virtual machine (VM) instance boots. Compute Engine provides support for running startup scripts on Linux VMs and Windows VMs.

Challenge scenario

You have been given the responsibility…


In this blog, I will discuss How to Create Python Development Environment In the Google Cloud Platform.

Creating and Connecting to a Virtual Machine


In this article, we will go through the lab to Explore Machine Learning Models with Explainable AI: Challenge Lab. In the previous, lab you will get familiar with AI Platform: Qwik Start, Using the What-If Tool with Image Recognition Models, Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool, and Compare Cloud AI Platform Models using the What-If Tool to Identify Potential Bias.

The challenge contains 4 required tasks

Challenge scenario

You are a curious coder who wants to…


In this article, we will go through the lab to Integrate with Machine Learning APIs: Challenge Lab. In the previous, lab you will get familiar with Introduction to APIs in Google, Extract, Analyze, and Translate Text from Images with the Cloud ML APIs, Classify Text with the Natural Language API, Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API, Entity and Sentiment Analysis with the Natural Language API, and Awwvision: Cloud Vision API from a Kubernetes Cluster.

The challenge contains 5 required tasks


This article will go through the lab to Scale-Out and Update a Containerized Application on a Kubernetes Cluster. This lab is similar to Build and Deploy a Docker Image to a Kubernetes Cluster.

The challenge contains 4 required tasks.

Challenge Scenario

You are taking over ownership of a test environment and have been given an updated version of a containerized test application to deploy. Your systems’ architecture team…


This article will go through the lab to Create ML Models with BigQuery ML: Challenge Lab. In the previous, lab you will get familiar with Getting Started with BQML, Predict Visitor Purchases with a Classification Model in BQML, Predict Taxi Fare with a BigQuery ML Forecasting Model, Bracketology with Google Machine Learning, and Implement a Helpdesk Chatbot with Dialogflow & BigQuery ML.

The challenge contains 5 required tasks.

1.Create a dataset to store your machine learning models.

2.Create a forecasting BigQuery machine learning model.

3.Create the second machine learning model.

4.Evaluate the two machine learning models.

5.Use the subscriber type…


This article will go through the lab to Automate Interactions with Contact Center AI: Challenge Lab. In the previous, lab you will get familiar with Design Conversational Flows for your Agent, Building Virtual Agent Fulfillment, Adding a Phone Gateway to a Virtual Agent, and Dialogflow Logging and Monitoring in Operations Suite.

The challenge contains 8 required tasks.

Challenge Scenario

Your…


In this article, I will walk you through How we can Run Windows Containers on Compute Engine. Before going to the implementation part you should familiar with Container, VM, and Docker.

For this, I had already written a blog you can check here for Container related and Compute Engine.

When people discuss containers, they usually mean Linux-based containers. But Microsoft has introduced support for Windows-based containers in Windows Server 2016 and Windows 10. Take existing Windows applications, containerized them by using Docker, and run them on Windows as an isolated container. There are two flavors of Windows containers: Hyper-V and…


In this article, we will go through the lab to Optimize Costs for Google Kubernetes Engine: Challenge Lab. In the previous, lab you will get familiar with Managing a GKE Multi-tenant Cluster with Namespaces, Exploring Cost-optimization for GKE Virtual Machines, Understanding and Combining GKE Autoscaling Strategies, and GKE Workload Optimization

The challenge contains 4 required tasks

Challenge Scenario

Mayank Chourasia

I am Google Cloud Certified Associate Cloud Engineer and MS Azure Certifed. I have been working on different fields including Cloud Computing , Sap ABAP.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store